The Algorithm and the Hippocratic Oath
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I am a doctor and that scenario scares me. This has a very high likelihood of stuff hitting the fan and you need to think about your plan when it does.
You want stuff to hit the fan during daytime when everyone is around. In this case, during the day surgery is around, ENT, around, other anesthesiologists all of these can rush in if needed to help you secure an airway. You also have the neonatologists around.
If it happens in the middle of the night, the staffing will be much reduced and you won’t have as many resources available.
One of the most important things to learn as a doctor is when algorithms and guidelines actually apply to the current situations.
“Life is short, the art long, opportunity fleeting, experiment treacherous, judgment difficult”
- Hippocrates
“This is a chance to do this case electively, in a controlled manner, in a situation in which Bad Things are monumentally more likely to occur. At noon, I can have all the help in the world. At two AM, it’s me, and I only have two hands and one brain.”
As I have said in codes before, I’m eventually out of ideas, so if you have one that we haven’t tried yet, talk. I will not judge you as dumb. I may not do it, but I will listen and consider it seriously before making that call.
Star Trek proposed a magical technical Tricorder as an ultra compact futuristic little black bag. You could whip it out and aim it at someone and have scads of useful data instantly.
Reality delivered us new tech like MRIs that require their own room at a hospital. Instead of the doctor going to your home and seeing you in the context in which you live, thereby providing substantial information without having to ask, the patient now goes to the clinic.
The result: The patient has ceased to be a whole person and product of their environment in the eyes of the physician. They are merely a specimen in a petri dish.
At one time, most humans lived in small communities where everyone knew each other and the doctor was one of the smartest and most educated people there. He was in the wisdom business.
Now doctors are expected to still deliver the results of being in the wisdom business while largely being reduced to technicians who lack the wealth of contextual information that once informed their practice of medicine.
This is compounded by larger communities and mobile cultures where we no longer know everyone for years and years.
How we fix this, I don't know.
But I am reminded that House was tentatively called "Everyone Lies" in preproduction. Figuring out the lies being told in every episode was a critical part of solving the medical mystery featured.
Modern physicians no longer know x patient is an alcoholic and hiding it and y patient is a philanderer whose sickly wife stopped sleeping with him years ago and it's both rude and ineffectual to ask about such things. You will likely be lied to.
But details like that are critical to sorting out what's really wrong medically and thus how to treat it effectively. And such issues absolutely fall in the purview of medical humanities, an aspect of the profession that desperately needs rethinking to resolve what ails modern medicine and thus improve health for modern people everywhere.
You can never have a thorough protocol that always works.
Doctors need to be trained in the limits of protocol.
This is why the humanities are important. Doctors should not just be unthinking executors of protocols. Trained human intuition, expertise, experience still matters. Knowledge of the human factors still matters.
Trouble is, too many doctors have internalized the ideal of being efficient robots instead.
There's no "just" about it. (It's like saying "Facebook is just a CRUD app, right?" - which from one point of view might be literally true, but's hardly relevant to any of the problems Meta has to solve.) Much like tech, humanities are a path of life-long learning, for which a college course of study can be (though isn't strictly necessary as) a helpful starting point, but is hardly adequate.
Efficient robots, though: yes. Many who work in tech have also internalized that mind-set.